How It Works

AI agents are trained to optimise for their pre-defined objectives prior to simulating their interaction with smart contracts.

Improvement Iteration

Flaws in design are identified and fed back to provide iterative improvement.

Partners

Case Studies

Bonding curve

Asset token price reaches and oscillates around the value of 50,000 (given the bonding curve setup and assumed users’ budget). Asset token price is more volatile when its initial distribution is uneven.

Decentralised alternative to insurance

User risk aversion is found to be one of the key factors influencing participation rate. Potential bribing schemes can be made unprofitable for users by combining increased vote bond size and vote reward.

Decentralised oracle

Reluctance to participate and high prevalence of following the majority are found to be the dominant issues. Solutions such as early voting discount and different reward distribution are proposed and tested.

Team

Piotr Grudzień

Founder

Piotr spent years building Machine Learning products for fraud detection at Featurespace, then for Natural Language Processing applications at Microsoft. He graduated from University of Cambridge specialising in Computer and Information Engineering.